{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pycaret.classification import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 文件load\n",
    "csv_file = '../../datasets/diabetes.csv'\n",
    "diabetes = pd.read_csv(csv_file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Setup Succesfully Completed!\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Description</th>        <th class=\"col_heading level0 col1\" >Value</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row0_col0\" class=\"data row0 col0\" >session_id</td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row0_col1\" class=\"data row0 col1\" >1907</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row1_col0\" class=\"data row1 col0\" >Target Type</td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row1_col1\" class=\"data row1 col1\" >Binary</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row2_col0\" class=\"data row2 col0\" >Label Encoded</td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row2_col1\" class=\"data row2 col1\" >0: 0, 1: 1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row3_col0\" class=\"data row3 col0\" >Original Data</td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row3_col1\" class=\"data row3 col1\" >(768, 9)</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row4_col0\" class=\"data row4 col0\" >Missing Values </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row4_col1\" class=\"data row4 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row5_col0\" class=\"data row5 col0\" >Numeric Features </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row5_col1\" class=\"data row5 col1\" >7</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row6_col0\" class=\"data row6 col0\" >Categorical Features </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row6_col1\" class=\"data row6 col1\" >1</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row7_col0\" class=\"data row7 col0\" >Ordinal Features </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row7_col1\" class=\"data row7 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row8_col0\" class=\"data row8 col0\" >High Cardinality Features </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row8_col1\" class=\"data row8 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row9_col0\" class=\"data row9 col0\" >High Cardinality Method </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row9_col1\" class=\"data row9 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row10_col0\" class=\"data row10 col0\" >Sampled Data</td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row10_col1\" class=\"data row10 col1\" >(768, 9)</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row11_col0\" class=\"data row11 col0\" >Transformed Train Set</td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row11_col1\" class=\"data row11 col1\" >(537, 24)</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row12_col0\" class=\"data row12 col0\" >Transformed Test Set</td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row12_col1\" class=\"data row12 col1\" >(231, 24)</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row13_col0\" class=\"data row13 col0\" >Numeric Imputer </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row13_col1\" class=\"data row13 col1\" >mean</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row14_col0\" class=\"data row14 col0\" >Categorical Imputer </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row14_col1\" class=\"data row14 col1\" >constant</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row15_col0\" class=\"data row15 col0\" >Normalize </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row15_col1\" class=\"data row15 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row16_col0\" class=\"data row16 col0\" >Normalize Method </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row16_col1\" class=\"data row16 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row17\" class=\"row_heading level0 row17\" >17</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row17_col0\" class=\"data row17 col0\" >Transformation </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row17_col1\" class=\"data row17 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row18\" class=\"row_heading level0 row18\" >18</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row18_col0\" class=\"data row18 col0\" >Transformation Method </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row18_col1\" class=\"data row18 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row19\" class=\"row_heading level0 row19\" >19</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row19_col0\" class=\"data row19 col0\" >PCA </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row19_col1\" class=\"data row19 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row20\" class=\"row_heading level0 row20\" >20</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row20_col0\" class=\"data row20 col0\" >PCA Method </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row20_col1\" class=\"data row20 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row21\" class=\"row_heading level0 row21\" >21</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row21_col0\" class=\"data row21 col0\" >PCA Components </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row21_col1\" class=\"data row21 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row22\" class=\"row_heading level0 row22\" >22</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row22_col0\" class=\"data row22 col0\" >Ignore Low Variance </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row22_col1\" class=\"data row22 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row23\" class=\"row_heading level0 row23\" >23</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row23_col0\" class=\"data row23 col0\" >Combine Rare Levels </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row23_col1\" class=\"data row23 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row24\" class=\"row_heading level0 row24\" >24</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row24_col0\" class=\"data row24 col0\" >Rare Level Threshold </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row24_col1\" class=\"data row24 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row25\" class=\"row_heading level0 row25\" >25</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row25_col0\" class=\"data row25 col0\" >Numeric Binning </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row25_col1\" class=\"data row25 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row26\" class=\"row_heading level0 row26\" >26</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row26_col0\" class=\"data row26 col0\" >Remove Outliers </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row26_col1\" class=\"data row26 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row27\" class=\"row_heading level0 row27\" >27</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row27_col0\" class=\"data row27 col0\" >Outliers Threshold </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row27_col1\" class=\"data row27 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row28\" class=\"row_heading level0 row28\" >28</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row28_col0\" class=\"data row28 col0\" >Remove Multicollinearity </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row28_col1\" class=\"data row28 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row29\" class=\"row_heading level0 row29\" >29</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row29_col0\" class=\"data row29 col0\" >Multicollinearity Threshold </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row29_col1\" class=\"data row29 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row30\" class=\"row_heading level0 row30\" >30</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row30_col0\" class=\"data row30 col0\" >Clustering </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row30_col1\" class=\"data row30 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row31\" class=\"row_heading level0 row31\" >31</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row31_col0\" class=\"data row31 col0\" >Clustering Iteration </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row31_col1\" class=\"data row31 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row32\" class=\"row_heading level0 row32\" >32</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row32_col0\" class=\"data row32 col0\" >Polynomial Features </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row32_col1\" class=\"data row32 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row33\" class=\"row_heading level0 row33\" >33</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row33_col0\" class=\"data row33 col0\" >Polynomial Degree </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row33_col1\" class=\"data row33 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row34\" class=\"row_heading level0 row34\" >34</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row34_col0\" class=\"data row34 col0\" >Trignometry Features </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row34_col1\" class=\"data row34 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row35\" class=\"row_heading level0 row35\" >35</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row35_col0\" class=\"data row35 col0\" >Polynomial Threshold </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row35_col1\" class=\"data row35 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row36\" class=\"row_heading level0 row36\" >36</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row36_col0\" class=\"data row36 col0\" >Group Features </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row36_col1\" class=\"data row36 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row37\" class=\"row_heading level0 row37\" >37</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row37_col0\" class=\"data row37 col0\" >Feature Selection </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row37_col1\" class=\"data row37 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row38\" class=\"row_heading level0 row38\" >38</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row38_col0\" class=\"data row38 col0\" >Features Selection Threshold </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row38_col1\" class=\"data row38 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row39\" class=\"row_heading level0 row39\" >39</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row39_col0\" class=\"data row39 col0\" >Feature Interaction </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row39_col1\" class=\"data row39 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row40\" class=\"row_heading level0 row40\" >40</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row40_col0\" class=\"data row40 col0\" >Feature Ratio </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row40_col1\" class=\"data row40 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row41\" class=\"row_heading level0 row41\" >41</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row41_col0\" class=\"data row41 col0\" >Interaction Threshold </td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row41_col1\" class=\"data row41 col1\" >None</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row42\" class=\"row_heading level0 row42\" >42</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row42_col0\" class=\"data row42 col0\" >Fix Imbalance</td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row42_col1\" class=\"data row42 col1\" >False</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5level0_row43\" class=\"row_heading level0 row43\" >43</th>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row43_col0\" class=\"data row43 col0\" >Fix Imbalance Method</td>\n",
       "                        <td id=\"T_87b43058_1364_11eb_ace5_54e1adcc3bd5row43_col1\" class=\"data row43 col1\" >SMOTE</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x19790839470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# import model & initializing setup\n",
    "clf = setup(diabetes, target=diabetes.columns[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "            text-align:  left;\n",
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       "            text-align:  left;\n",
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       "            text-align:  left;\n",
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       "            : ;\n",
       "            text-align:  left;\n",
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       "            : ;\n",
       "            text-align:  left;\n",
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       "            background-color:  lightgrey;\n",
       "            text-align:  left;\n",
       "        }</style><table id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Model</th>        <th class=\"col_heading level0 col1\" >Accuracy</th>        <th class=\"col_heading level0 col2\" >AUC</th>        <th class=\"col_heading level0 col3\" >Recall</th>        <th class=\"col_heading level0 col4\" >Prec.</th>        <th class=\"col_heading level0 col5\" >F1</th>        <th class=\"col_heading level0 col6\" >Kappa</th>        <th class=\"col_heading level0 col7\" >MCC</th>        <th class=\"col_heading level0 col8\" >TT (Sec)</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row0_col0\" class=\"data row0 col0\" >Logistic Regression</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row0_col1\" class=\"data row0 col1\" >0.7691</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row0_col2\" class=\"data row0 col2\" >0.8278</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row0_col3\" class=\"data row0 col3\" >0.5833</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row0_col4\" class=\"data row0 col4\" >0.7169</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row0_col5\" class=\"data row0 col5\" >0.6326</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row0_col6\" class=\"data row0 col6\" >0.4688</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row0_col7\" class=\"data row0 col7\" >0.4815</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row0_col8\" class=\"data row0 col8\" >0.0549</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row1_col0\" class=\"data row1 col0\" >Linear Discriminant Analysis</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row1_col1\" class=\"data row1 col1\" >0.7653</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row1_col2\" class=\"data row1 col2\" >0.8269</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row1_col3\" class=\"data row1 col3\" >0.5675</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row1_col4\" class=\"data row1 col4\" >0.7248</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row1_col5\" class=\"data row1 col5\" >0.6253</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row1_col6\" class=\"data row1 col6\" >0.4592</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row1_col7\" class=\"data row1 col7\" >0.4745</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row1_col8\" class=\"data row1 col8\" >0.0229</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row2_col0\" class=\"data row2 col0\" >Extreme Gradient Boosting</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row2_col1\" class=\"data row2 col1\" >0.7619</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row2_col2\" class=\"data row2 col2\" >0.8203</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row2_col3\" class=\"data row2 col3\" >0.5792</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row2_col4\" class=\"data row2 col4\" >0.6939</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row2_col5\" class=\"data row2 col5\" >0.6204</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row2_col6\" class=\"data row2 col6\" >0.4527</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row2_col7\" class=\"data row2 col7\" >0.4626</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row2_col8\" class=\"data row2 col8\" >0.0632</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row3_col0\" class=\"data row3 col0\" >Gradient Boosting Classifier</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row3_col1\" class=\"data row3 col1\" >0.7618</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row3_col2\" class=\"data row3 col2\" >0.8078</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row3_col3\" class=\"data row3 col3\" >0.5678</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row3_col4\" class=\"data row3 col4\" >0.7107</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row3_col5\" class=\"data row3 col5\" >0.6215</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row3_col6\" class=\"data row3 col6\" >0.4524</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row3_col7\" class=\"data row3 col7\" >0.4652</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row3_col8\" class=\"data row3 col8\" >0.146</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row4_col0\" class=\"data row4 col0\" >Ridge Classifier</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row4_col1\" class=\"data row4 col1\" >0.7597</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row4_col2\" class=\"data row4 col2\" >0</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row4_col3\" class=\"data row4 col3\" >0.5462</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row4_col4\" class=\"data row4 col4\" >0.7225</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row4_col5\" class=\"data row4 col5\" >0.6077</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row4_col6\" class=\"data row4 col6\" >0.4413</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row4_col7\" class=\"data row4 col7\" >0.4598</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row4_col8\" class=\"data row4 col8\" >0.0255</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row5_col0\" class=\"data row5 col0\" >CatBoost Classifier</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row5_col1\" class=\"data row5 col1\" >0.7582</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row5_col2\" class=\"data row5 col2\" >0.8243</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row5_col3\" class=\"data row5 col3\" >0.5468</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row5_col4\" class=\"data row5 col4\" >0.707</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row5_col5\" class=\"data row5 col5\" >0.6034</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row5_col6\" class=\"data row5 col6\" >0.4372</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row5_col7\" class=\"data row5 col7\" >0.452</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row5_col8\" class=\"data row5 col8\" >2.473</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row6_col0\" class=\"data row6 col0\" >Ada Boost Classifier</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row6_col1\" class=\"data row6 col1\" >0.7432</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row6_col2\" class=\"data row6 col2\" >0.778</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row6_col3\" class=\"data row6 col3\" >0.5787</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row6_col4\" class=\"data row6 col4\" >0.66</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row6_col5\" class=\"data row6 col5\" >0.6089</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row6_col6\" class=\"data row6 col6\" >0.4204</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row6_col7\" class=\"data row6 col7\" >0.4283</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row6_col8\" class=\"data row6 col8\" >0.1268</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row7_col0\" class=\"data row7 col0\" >Light Gradient Boosting Machine</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row7_col1\" class=\"data row7 col1\" >0.7394</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row7_col2\" class=\"data row7 col2\" >0.8017</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row7_col3\" class=\"data row7 col3\" >0.5787</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row7_col4\" class=\"data row7 col4\" >0.6417</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row7_col5\" class=\"data row7 col5\" >0.602</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row7_col6\" class=\"data row7 col6\" >0.411</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row7_col7\" class=\"data row7 col7\" >0.4168</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row7_col8\" class=\"data row7 col8\" >0.0853</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row8_col0\" class=\"data row8 col0\" >Extra Trees Classifier</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row8_col1\" class=\"data row8 col1\" >0.7318</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row8_col2\" class=\"data row8 col2\" >0.7753</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row8_col3\" class=\"data row8 col3\" >0.4868</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row8_col4\" class=\"data row8 col4\" >0.6729</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row8_col5\" class=\"data row8 col5\" >0.5548</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row8_col6\" class=\"data row8 col6\" >0.3716</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row8_col7\" class=\"data row8 col7\" >0.3874</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row8_col8\" class=\"data row8 col8\" >0.215</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row9_col0\" class=\"data row9 col0\" >Random Forest Classifier</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row9_col1\" class=\"data row9 col1\" >0.73</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row9_col2\" class=\"data row9 col2\" >0.7673</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row9_col3\" class=\"data row9 col3\" >0.4547</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row9_col4\" class=\"data row9 col4\" >0.6855</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row9_col5\" class=\"data row9 col5\" >0.5314</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row9_col6\" class=\"data row9 col6\" >0.3556</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row9_col7\" class=\"data row9 col7\" >0.3775</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row9_col8\" class=\"data row9 col8\" >0.1257</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row10_col0\" class=\"data row10 col0\" >K Neighbors Classifier</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row10_col1\" class=\"data row10 col1\" >0.7264</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row10_col2\" class=\"data row10 col2\" >0.7479</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row10_col3\" class=\"data row10 col3\" >0.5409</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row10_col4\" class=\"data row10 col4\" >0.6247</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row10_col5\" class=\"data row10 col5\" >0.5738</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row10_col6\" class=\"data row10 col6\" >0.3763</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row10_col7\" class=\"data row10 col7\" >0.3812</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row10_col8\" class=\"data row10 col8\" >0.0118</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row11_col0\" class=\"data row11 col0\" >Naive Bayes</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row11_col1\" class=\"data row11 col1\" >0.6816</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row11_col2\" class=\"data row11 col2\" >0.7247</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row11_col3\" class=\"data row11 col3\" >0.2775</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row11_col4\" class=\"data row11 col4\" >0.6081</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row11_col5\" class=\"data row11 col5\" >0.3747</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row11_col6\" class=\"data row11 col6\" >0.1992</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row11_col7\" class=\"data row11 col7\" >0.23</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row11_col8\" class=\"data row11 col8\" >0.0045</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row12_col0\" class=\"data row12 col0\" >Decision Tree Classifier</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row12_col1\" class=\"data row12 col1\" >0.6708</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row12_col2\" class=\"data row12 col2\" >0.6384</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row12_col3\" class=\"data row12 col3\" >0.531</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row12_col4\" class=\"data row12 col4\" >0.5214</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row12_col5\" class=\"data row12 col5\" >0.5188</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row12_col6\" class=\"data row12 col6\" >0.2718</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row12_col7\" class=\"data row12 col7\" >0.2759</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row12_col8\" class=\"data row12 col8\" >0.0226</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row13_col0\" class=\"data row13 col0\" >SVM - Linear Kernel</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row13_col1\" class=\"data row13 col1\" >0.6124</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row13_col2\" class=\"data row13 col2\" >0</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row13_col3\" class=\"data row13 col3\" >0.3678</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row13_col4\" class=\"data row13 col4\" >0.4241</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row13_col5\" class=\"data row13 col5\" >0.3561</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row13_col6\" class=\"data row13 col6\" >0.1177</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row13_col7\" class=\"data row13 col7\" >0.126</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row13_col8\" class=\"data row13 col8\" >0.0197</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row14_col0\" class=\"data row14 col0\" >Quadratic Discriminant Analysis</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row14_col1\" class=\"data row14 col1\" >0.599</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row14_col2\" class=\"data row14 col2\" >0.5854</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row14_col3\" class=\"data row14 col3\" >0.4702</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row14_col4\" class=\"data row14 col4\" >0.511</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row14_col5\" class=\"data row14 col5\" >0.4269</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row14_col6\" class=\"data row14 col6\" >0.1477</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row14_col7\" class=\"data row14 col7\" >0.1759</td>\n",
       "                        <td id=\"T_aadce840_1364_11eb_989c_54e1adcc3bd5row14_col8\" class=\"data row14 col8\" >0.0304</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x19790bb74a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# baseline model & top 3\n",
    "top3 = compare_models(sort='Accuracy', n_select=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
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       "            background:  yellow;\n",
       "        }</style><table id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Accuracy</th>        <th class=\"col_heading level0 col1\" >AUC</th>        <th class=\"col_heading level0 col2\" >Recall</th>        <th class=\"col_heading level0 col3\" >Prec.</th>        <th class=\"col_heading level0 col4\" >F1</th>        <th class=\"col_heading level0 col5\" >Kappa</th>        <th class=\"col_heading level0 col6\" >MCC</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row0_col0\" class=\"data row0 col0\" >0.7593</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row0_col1\" class=\"data row0 col1\" >0.8</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row0_col2\" class=\"data row0 col2\" >0.4737</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row0_col3\" class=\"data row0 col3\" >0.75</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row0_col4\" class=\"data row0 col4\" >0.5806</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row0_col5\" class=\"data row0 col5\" >0.4236</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row0_col6\" class=\"data row0 col6\" >0.4456</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row1_col0\" class=\"data row1 col0\" >0.7222</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row1_col1\" class=\"data row1 col1\" >0.7895</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row1_col2\" class=\"data row1 col2\" >0.5789</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row1_col3\" class=\"data row1 col3\" >0.6111</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row1_col4\" class=\"data row1 col4\" >0.5946</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row1_col5\" class=\"data row1 col5\" >0.3836</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row1_col6\" class=\"data row1 col6\" >0.3839</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row2_col0\" class=\"data row2 col0\" >0.7593</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row2_col1\" class=\"data row2 col1\" >0.7714</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row2_col2\" class=\"data row2 col2\" >0.5263</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row2_col3\" class=\"data row2 col3\" >0.7143</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row2_col4\" class=\"data row2 col4\" >0.6061</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row2_col5\" class=\"data row2 col5\" >0.4384</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row2_col6\" class=\"data row2 col6\" >0.449</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row3_col0\" class=\"data row3 col0\" >0.6852</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row3_col1\" class=\"data row3 col1\" >0.7654</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row3_col2\" class=\"data row3 col2\" >0.4737</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row3_col3\" class=\"data row3 col3\" >0.5625</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row3_col4\" class=\"data row3 col4\" >0.5143</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row3_col5\" class=\"data row3 col5\" >0.2839</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row3_col6\" class=\"data row3 col6\" >0.2862</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row4_col0\" class=\"data row4 col0\" >0.7037</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row4_col1\" class=\"data row4 col1\" >0.7398</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row4_col2\" class=\"data row4 col2\" >0.4737</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row4_col3\" class=\"data row4 col3\" >0.6</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row4_col4\" class=\"data row4 col4\" >0.5294</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row4_col5\" class=\"data row4 col5\" >0.3175</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row4_col6\" class=\"data row4 col6\" >0.3223</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row5_col0\" class=\"data row5 col0\" >0.7593</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row5_col1\" class=\"data row5 col1\" >0.7414</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row5_col2\" class=\"data row5 col2\" >0.5789</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row5_col3\" class=\"data row5 col3\" >0.6875</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row5_col4\" class=\"data row5 col4\" >0.6286</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row5_col5\" class=\"data row5 col5\" >0.4524</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row5_col6\" class=\"data row5 col6\" >0.4561</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row6_col0\" class=\"data row6 col0\" >0.6667</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row6_col1\" class=\"data row6 col1\" >0.7338</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row6_col2\" class=\"data row6 col2\" >0.5789</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row6_col3\" class=\"data row6 col3\" >0.5238</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row6_col4\" class=\"data row6 col4\" >0.55</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row6_col5\" class=\"data row6 col5\" >0.2863</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row6_col6\" class=\"data row6 col6\" >0.2872</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row7_col0\" class=\"data row7 col0\" >0.8302</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row7_col1\" class=\"data row7 col1\" >0.8841</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row7_col2\" class=\"data row7 col2\" >0.6667</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row7_col3\" class=\"data row7 col3\" >0.8</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row7_col4\" class=\"data row7 col4\" >0.7273</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row7_col5\" class=\"data row7 col5\" >0.6055</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row7_col6\" class=\"data row7 col6\" >0.6108</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row8_col0\" class=\"data row8 col0\" >0.8113</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row8_col1\" class=\"data row8 col1\" >0.8683</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row8_col2\" class=\"data row8 col2\" >0.8889</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row8_col3\" class=\"data row8 col3\" >0.6667</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row8_col4\" class=\"data row8 col4\" >0.7619</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row8_col5\" class=\"data row8 col5\" >0.6109</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row8_col6\" class=\"data row8 col6\" >0.6282</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row9_col0\" class=\"data row9 col0\" >0.6415</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row9_col1\" class=\"data row9 col1\" >0.7429</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row9_col2\" class=\"data row9 col2\" >0.4444</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row9_col3\" class=\"data row9 col3\" >0.4706</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row9_col4\" class=\"data row9 col4\" >0.4571</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row9_col5\" class=\"data row9 col5\" >0.1899</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row9_col6\" class=\"data row9 col6\" >0.19</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row10\" class=\"row_heading level0 row10\" >Mean</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row10_col0\" class=\"data row10 col0\" >0.7339</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row10_col1\" class=\"data row10 col1\" >0.7837</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row10_col2\" class=\"data row10 col2\" >0.5684</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row10_col3\" class=\"data row10 col3\" >0.6386</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row10_col4\" class=\"data row10 col4\" >0.595</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row10_col5\" class=\"data row10 col5\" >0.3992</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row10_col6\" class=\"data row10 col6\" >0.4059</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5level0_row11\" class=\"row_heading level0 row11\" >SD</th>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row11_col0\" class=\"data row11 col0\" >0.058</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row11_col1\" class=\"data row11 col1\" >0.0509</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row11_col2\" class=\"data row11 col2\" >0.1252</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row11_col3\" class=\"data row11 col3\" >0.0984</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row11_col4\" class=\"data row11 col4\" >0.0887</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row11_col5\" class=\"data row11 col5\" >0.13</td>\n",
       "                        <td id=\"T_b7f3372e_1364_11eb_9d2e_54e1adcc3bd5row11_col6\" class=\"data row11 col6\" >0.1341</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x19791c3b208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 调超参\n",
    "tuned_top3 = [tune_model(model) for model in top3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "    #T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col0 {\n",
       "            background:  yellow;\n",
       "        }    #T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col1 {\n",
       "            background:  yellow;\n",
       "        }    #T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col2 {\n",
       "            background:  yellow;\n",
       "        }    #T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col3 {\n",
       "            background:  yellow;\n",
       "        }    #T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col4 {\n",
       "            background:  yellow;\n",
       "        }    #T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col5 {\n",
       "            background:  yellow;\n",
       "        }    #T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col6 {\n",
       "            background:  yellow;\n",
       "        }</style><table id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Accuracy</th>        <th class=\"col_heading level0 col1\" >AUC</th>        <th class=\"col_heading level0 col2\" >Recall</th>        <th class=\"col_heading level0 col3\" >Prec.</th>        <th class=\"col_heading level0 col4\" >F1</th>        <th class=\"col_heading level0 col5\" >Kappa</th>        <th class=\"col_heading level0 col6\" >MCC</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row0_col0\" class=\"data row0 col0\" >0.7778</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row0_col1\" class=\"data row0 col1\" >0.8526</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row0_col2\" class=\"data row0 col2\" >0.5789</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row0_col3\" class=\"data row0 col3\" >0.7333</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row0_col4\" class=\"data row0 col4\" >0.6471</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row0_col5\" class=\"data row0 col5\" >0.4882</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row0_col6\" class=\"data row0 col6\" >0.4954</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row1_col0\" class=\"data row1 col0\" >0.7222</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row1_col1\" class=\"data row1 col1\" >0.8211</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row1_col2\" class=\"data row1 col2\" >0.5789</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row1_col3\" class=\"data row1 col3\" >0.6111</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row1_col4\" class=\"data row1 col4\" >0.5946</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row1_col5\" class=\"data row1 col5\" >0.3836</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row1_col6\" class=\"data row1 col6\" >0.3839</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row2_col0\" class=\"data row2 col0\" >0.7407</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row2_col1\" class=\"data row2 col1\" >0.7669</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row2_col2\" class=\"data row2 col2\" >0.4211</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row2_col3\" class=\"data row2 col3\" >0.7273</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row2_col4\" class=\"data row2 col4\" >0.5333</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row2_col5\" class=\"data row2 col5\" >0.371</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row2_col6\" class=\"data row2 col6\" >0.3976</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row3_col0\" class=\"data row3 col0\" >0.7407</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row3_col1\" class=\"data row3 col1\" >0.818</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row3_col2\" class=\"data row3 col2\" >0.6316</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row3_col3\" class=\"data row3 col3\" >0.6316</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row3_col4\" class=\"data row3 col4\" >0.6316</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row3_col5\" class=\"data row3 col5\" >0.4316</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row3_col6\" class=\"data row3 col6\" >0.4316</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row4_col0\" class=\"data row4 col0\" >0.7407</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row4_col1\" class=\"data row4 col1\" >0.788</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row4_col2\" class=\"data row4 col2\" >0.4737</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row4_col3\" class=\"data row4 col3\" >0.6923</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row4_col4\" class=\"data row4 col4\" >0.5625</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row4_col5\" class=\"data row4 col5\" >0.3874</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row4_col6\" class=\"data row4 col6\" >0.4014</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row5_col0\" class=\"data row5 col0\" >0.7593</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row5_col1\" class=\"data row5 col1\" >0.7489</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row5_col2\" class=\"data row5 col2\" >0.5263</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row5_col3\" class=\"data row5 col3\" >0.7143</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row5_col4\" class=\"data row5 col4\" >0.6061</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row5_col5\" class=\"data row5 col5\" >0.4384</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row5_col6\" class=\"data row5 col6\" >0.449</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row6_col0\" class=\"data row6 col0\" >0.6852</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row6_col1\" class=\"data row6 col1\" >0.7639</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row6_col2\" class=\"data row6 col2\" >0.6316</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row6_col3\" class=\"data row6 col3\" >0.5455</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row6_col4\" class=\"data row6 col4\" >0.5854</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row6_col5\" class=\"data row6 col5\" >0.3338</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row6_col6\" class=\"data row6 col6\" >0.3361</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row7_col0\" class=\"data row7 col0\" >0.8491</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row7_col1\" class=\"data row7 col1\" >0.9317</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row7_col2\" class=\"data row7 col2\" >0.7222</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row7_col3\" class=\"data row7 col3\" >0.8125</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row7_col4\" class=\"data row7 col4\" >0.7647</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row7_col5\" class=\"data row7 col5\" >0.6542</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row7_col6\" class=\"data row7 col6\" >0.6566</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row8_col0\" class=\"data row8 col0\" >0.8302</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row8_col1\" class=\"data row8 col1\" >0.8857</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row8_col2\" class=\"data row8 col2\" >0.8333</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row8_col3\" class=\"data row8 col3\" >0.7143</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row8_col4\" class=\"data row8 col4\" >0.7692</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row8_col5\" class=\"data row8 col5\" >0.6362</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row8_col6\" class=\"data row8 col6\" >0.6409</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row9_col0\" class=\"data row9 col0\" >0.6415</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row9_col1\" class=\"data row9 col1\" >0.7476</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row9_col2\" class=\"data row9 col2\" >0.4444</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row9_col3\" class=\"data row9 col3\" >0.4706</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row9_col4\" class=\"data row9 col4\" >0.4571</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row9_col5\" class=\"data row9 col5\" >0.1899</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row9_col6\" class=\"data row9 col6\" >0.19</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row10\" class=\"row_heading level0 row10\" >Mean</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col0\" class=\"data row10 col0\" >0.7487</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col1\" class=\"data row10 col1\" >0.8124</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col2\" class=\"data row10 col2\" >0.5842</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col3\" class=\"data row10 col3\" >0.6653</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col4\" class=\"data row10 col4\" >0.6152</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col5\" class=\"data row10 col5\" >0.4314</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row10_col6\" class=\"data row10 col6\" >0.4383</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5level0_row11\" class=\"row_heading level0 row11\" >SD</th>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row11_col0\" class=\"data row11 col0\" >0.0584</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row11_col1\" class=\"data row11 col1\" >0.0588</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row11_col2\" class=\"data row11 col2\" >0.1214</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row11_col3\" class=\"data row11 col3\" >0.0959</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row11_col4\" class=\"data row11 col4\" >0.0912</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row11_col5\" class=\"data row11 col5\" >0.1306</td>\n",
       "                        <td id=\"T_dccbdd1a_1364_11eb_9294_54e1adcc3bd5row11_col6\" class=\"data row11 col6\" >0.1304</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x19791c0f438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 模型融合/集成学习：ensemble\n",
    "bagged_top3 = [ensemble_model(model) for model in tuned_top3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "    #T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col0 {\n",
       "            background:  yellow;\n",
       "        }    #T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col1 {\n",
       "            background:  yellow;\n",
       "        }    #T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col2 {\n",
       "            background:  yellow;\n",
       "        }    #T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col3 {\n",
       "            background:  yellow;\n",
       "        }    #T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col4 {\n",
       "            background:  yellow;\n",
       "        }    #T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col5 {\n",
       "            background:  yellow;\n",
       "        }    #T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col6 {\n",
       "            background:  yellow;\n",
       "        }</style><table id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Accuracy</th>        <th class=\"col_heading level0 col1\" >AUC</th>        <th class=\"col_heading level0 col2\" >Recall</th>        <th class=\"col_heading level0 col3\" >Prec.</th>        <th class=\"col_heading level0 col4\" >F1</th>        <th class=\"col_heading level0 col5\" >Kappa</th>        <th class=\"col_heading level0 col6\" >MCC</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row0_col0\" class=\"data row0 col0\" >0.7963</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row0_col1\" class=\"data row0 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row0_col2\" class=\"data row0 col2\" >0.4737</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row0_col3\" class=\"data row0 col3\" >0.9</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row0_col4\" class=\"data row0 col4\" >0.6207</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row0_col5\" class=\"data row0 col5\" >0.4992</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row0_col6\" class=\"data row0 col6\" >0.5472</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row1_col0\" class=\"data row1 col0\" >0.7778</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row1_col1\" class=\"data row1 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row1_col2\" class=\"data row1 col2\" >0.5789</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row1_col3\" class=\"data row1 col3\" >0.7333</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row1_col4\" class=\"data row1 col4\" >0.6471</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row1_col5\" class=\"data row1 col5\" >0.4882</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row1_col6\" class=\"data row1 col6\" >0.4954</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row2_col0\" class=\"data row2 col0\" >0.7963</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row2_col1\" class=\"data row2 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row2_col2\" class=\"data row2 col2\" >0.4211</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row2_col3\" class=\"data row2 col3\" >1</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row2_col4\" class=\"data row2 col4\" >0.5926</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row2_col5\" class=\"data row2 col5\" >0.4853</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row2_col6\" class=\"data row2 col6\" >0.566</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row3_col0\" class=\"data row3 col0\" >0.8333</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row3_col1\" class=\"data row3 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row3_col2\" class=\"data row3 col2\" >0.6842</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row3_col3\" class=\"data row3 col3\" >0.8125</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row3_col4\" class=\"data row3 col4\" >0.7429</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row3_col5\" class=\"data row3 col5\" >0.6209</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row3_col6\" class=\"data row3 col6\" >0.6259</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row4_col0\" class=\"data row4 col0\" >0.6852</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row4_col1\" class=\"data row4 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row4_col2\" class=\"data row4 col2\" >0.4211</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row4_col3\" class=\"data row4 col3\" >0.5714</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row4_col4\" class=\"data row4 col4\" >0.4848</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row4_col5\" class=\"data row4 col5\" >0.2656</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row4_col6\" class=\"data row4 col6\" >0.272</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row5_col0\" class=\"data row5 col0\" >0.7778</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row5_col1\" class=\"data row5 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row5_col2\" class=\"data row5 col2\" >0.6316</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row5_col3\" class=\"data row5 col3\" >0.7059</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row5_col4\" class=\"data row5 col4\" >0.6667</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row5_col5\" class=\"data row5 col5\" >0.5008</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row5_col6\" class=\"data row5 col6\" >0.5025</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row6_col0\" class=\"data row6 col0\" >0.6667</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row6_col1\" class=\"data row6 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row6_col2\" class=\"data row6 col2\" >0.5789</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row6_col3\" class=\"data row6 col3\" >0.5238</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row6_col4\" class=\"data row6 col4\" >0.55</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row6_col5\" class=\"data row6 col5\" >0.2863</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row6_col6\" class=\"data row6 col6\" >0.2872</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row7_col0\" class=\"data row7 col0\" >0.8302</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row7_col1\" class=\"data row7 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row7_col2\" class=\"data row7 col2\" >0.6667</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row7_col3\" class=\"data row7 col3\" >0.8</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row7_col4\" class=\"data row7 col4\" >0.7273</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row7_col5\" class=\"data row7 col5\" >0.6055</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row7_col6\" class=\"data row7 col6\" >0.6108</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row8_col0\" class=\"data row8 col0\" >0.8302</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row8_col1\" class=\"data row8 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row8_col2\" class=\"data row8 col2\" >0.8333</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row8_col3\" class=\"data row8 col3\" >0.7143</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row8_col4\" class=\"data row8 col4\" >0.7692</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row8_col5\" class=\"data row8 col5\" >0.6362</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row8_col6\" class=\"data row8 col6\" >0.6409</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row9_col0\" class=\"data row9 col0\" >0.6604</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row9_col1\" class=\"data row9 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row9_col2\" class=\"data row9 col2\" >0.3889</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row9_col3\" class=\"data row9 col3\" >0.5</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row9_col4\" class=\"data row9 col4\" >0.4375</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row9_col5\" class=\"data row9 col5\" >0.1997</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row9_col6\" class=\"data row9 col6\" >0.2029</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row10\" class=\"row_heading level0 row10\" >Mean</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col0\" class=\"data row10 col0\" >0.7654</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col1\" class=\"data row10 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col2\" class=\"data row10 col2\" >0.5678</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col3\" class=\"data row10 col3\" >0.7261</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col4\" class=\"data row10 col4\" >0.6239</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col5\" class=\"data row10 col5\" >0.4587</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row10_col6\" class=\"data row10 col6\" >0.4751</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5level0_row11\" class=\"row_heading level0 row11\" >SD</th>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row11_col0\" class=\"data row11 col0\" >0.0651</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row11_col1\" class=\"data row11 col1\" >0</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row11_col2\" class=\"data row11 col2\" >0.1349</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row11_col3\" class=\"data row11 col3\" >0.1532</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row11_col4\" class=\"data row11 col4\" >0.1043</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row11_col5\" class=\"data row11 col5\" >0.1478</td>\n",
       "                        <td id=\"T_f42da8e8_1364_11eb_a6f9_54e1adcc3bd5row11_col6\" class=\"data row11 col6\" >0.1529</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x19791c672e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 模型融合/集成学习：blend（权重，不交叉）\n",
    "blender = blend_models(estimator_list = top3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "    #T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col0 {\n",
       "            background:  yellow;\n",
       "        }    #T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col1 {\n",
       "            background:  yellow;\n",
       "        }    #T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col2 {\n",
       "            background:  yellow;\n",
       "        }    #T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col3 {\n",
       "            background:  yellow;\n",
       "        }    #T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col4 {\n",
       "            background:  yellow;\n",
       "        }    #T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col5 {\n",
       "            background:  yellow;\n",
       "        }    #T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col6 {\n",
       "            background:  yellow;\n",
       "        }</style><table id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >Accuracy</th>        <th class=\"col_heading level0 col1\" >AUC</th>        <th class=\"col_heading level0 col2\" >Recall</th>        <th class=\"col_heading level0 col3\" >Prec.</th>        <th class=\"col_heading level0 col4\" >F1</th>        <th class=\"col_heading level0 col5\" >Kappa</th>        <th class=\"col_heading level0 col6\" >MCC</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row0_col0\" class=\"data row0 col0\" >0.7778</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row0_col1\" class=\"data row0 col1\" >0.9038</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row0_col2\" class=\"data row0 col2\" >0.4211</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row0_col3\" class=\"data row0 col3\" >0.8889</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row0_col4\" class=\"data row0 col4\" >0.5714</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row0_col5\" class=\"data row0 col5\" >0.4462</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row0_col6\" class=\"data row0 col6\" >0.5029</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row1_col0\" class=\"data row1 col0\" >0.7778</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row1_col1\" class=\"data row1 col1\" >0.7714</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row1_col2\" class=\"data row1 col2\" >0.6316</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row1_col3\" class=\"data row1 col3\" >0.7059</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row1_col4\" class=\"data row1 col4\" >0.6667</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row1_col5\" class=\"data row1 col5\" >0.5008</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row1_col6\" class=\"data row1 col6\" >0.5025</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row2_col0\" class=\"data row2 col0\" >0.7778</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row2_col1\" class=\"data row2 col1\" >0.9083</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row2_col2\" class=\"data row2 col2\" >0.3684</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row2_col3\" class=\"data row2 col3\" >1</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row2_col4\" class=\"data row2 col4\" >0.5385</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row2_col5\" class=\"data row2 col5\" >0.4306</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row2_col6\" class=\"data row2 col6\" >0.5238</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row3_col0\" class=\"data row3 col0\" >0.7407</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row3_col1\" class=\"data row3 col1\" >0.815</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row3_col2\" class=\"data row3 col2\" >0.4737</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row3_col3\" class=\"data row3 col3\" >0.6923</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row3_col4\" class=\"data row3 col4\" >0.5625</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row3_col5\" class=\"data row3 col5\" >0.3874</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row3_col6\" class=\"data row3 col6\" >0.4014</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row4_col0\" class=\"data row4 col0\" >0.7222</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row4_col1\" class=\"data row4 col1\" >0.785</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row4_col2\" class=\"data row4 col2\" >0.4211</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row4_col3\" class=\"data row4 col3\" >0.6667</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row4_col4\" class=\"data row4 col4\" >0.5161</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row4_col5\" class=\"data row4 col5\" >0.335</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row4_col6\" class=\"data row4 col6\" >0.3524</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row5_col0\" class=\"data row5 col0\" >0.7778</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row5_col1\" class=\"data row5 col1\" >0.7895</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row5_col2\" class=\"data row5 col2\" >0.5789</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row5_col3\" class=\"data row5 col3\" >0.7333</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row5_col4\" class=\"data row5 col4\" >0.6471</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row5_col5\" class=\"data row5 col5\" >0.4882</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row5_col6\" class=\"data row5 col6\" >0.4954</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row6_col0\" class=\"data row6 col0\" >0.7222</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row6_col1\" class=\"data row6 col1\" >0.7955</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row6_col2\" class=\"data row6 col2\" >0.6316</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row6_col3\" class=\"data row6 col3\" >0.6</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row6_col4\" class=\"data row6 col4\" >0.6154</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row6_col5\" class=\"data row6 col5\" >0.3982</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row6_col6\" class=\"data row6 col6\" >0.3985</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row7_col0\" class=\"data row7 col0\" >0.8302</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row7_col1\" class=\"data row7 col1\" >0.9</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row7_col2\" class=\"data row7 col2\" >0.6667</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row7_col3\" class=\"data row7 col3\" >0.8</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row7_col4\" class=\"data row7 col4\" >0.7273</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row7_col5\" class=\"data row7 col5\" >0.6055</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row7_col6\" class=\"data row7 col6\" >0.6108</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row8_col0\" class=\"data row8 col0\" >0.8113</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row8_col1\" class=\"data row8 col1\" >0.8873</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row8_col2\" class=\"data row8 col2\" >0.7778</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row8_col3\" class=\"data row8 col3\" >0.7</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row8_col4\" class=\"data row8 col4\" >0.7368</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row8_col5\" class=\"data row8 col5\" >0.5904</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row8_col6\" class=\"data row8 col6\" >0.5924</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row9_col0\" class=\"data row9 col0\" >0.6226</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row9_col1\" class=\"data row9 col1\" >0.7429</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row9_col2\" class=\"data row9 col2\" >0.3333</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row9_col3\" class=\"data row9 col3\" >0.4286</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row9_col4\" class=\"data row9 col4\" >0.375</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row9_col5\" class=\"data row9 col5\" >0.1107</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row9_col6\" class=\"data row9 col6\" >0.1125</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row10\" class=\"row_heading level0 row10\" >Mean</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col0\" class=\"data row10 col0\" >0.756</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col1\" class=\"data row10 col1\" >0.8299</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col2\" class=\"data row10 col2\" >0.5304</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col3\" class=\"data row10 col3\" >0.7216</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col4\" class=\"data row10 col4\" >0.5957</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col5\" class=\"data row10 col5\" >0.4293</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row10_col6\" class=\"data row10 col6\" >0.4493</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5level0_row11\" class=\"row_heading level0 row11\" >SD</th>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row11_col0\" class=\"data row11 col0\" >0.0555</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row11_col1\" class=\"data row11 col1\" >0.0599</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row11_col2\" class=\"data row11 col2\" >0.1396</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row11_col3\" class=\"data row11 col3\" >0.1473</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row11_col4\" class=\"data row11 col4\" >0.1026</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row11_col5\" class=\"data row11 col5\" >0.1338</td>\n",
       "                        <td id=\"T_0e6cf7f0_1365_11eb_94e8_54e1adcc3bd5row11_col6\" class=\"data row11 col6\" >0.137</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x19792e52eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "stack = stack_models(estimator_list=top3[1:], meta_model=top3[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BaggingClassifier(base_estimator=LogisticRegression(C=5.234, class_weight=None,\n",
      "                                                    dual=False,\n",
      "                                                    fit_intercept=True,\n",
      "                                                    intercept_scaling=1,\n",
      "                                                    l1_ratio=None, max_iter=100,\n",
      "                                                    multi_class='auto',\n",
      "                                                    n_jobs=None, penalty='l2',\n",
      "                                                    random_state=1907,\n",
      "                                                    solver='lbfgs', tol=0.0001,\n",
      "                                                    verbose=0,\n",
      "                                                    warm_start=False),\n",
      "                  bootstrap=True, bootstrap_features=False, max_features=1.0,\n",
      "                  max_samples=1.0, n_estimators=10, n_jobs=-1, oob_score=False,\n",
      "                  random_state=1907, verbose=0, warm_start=False)\n"
     ]
    }
   ],
   "source": [
    "# select best model \n",
    "best = automl(optimize = 'Recall')\n",
    "print(best)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_model(best)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Model</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>AUC</th>\n",
       "      <th>Recall</th>\n",
       "      <th>Prec.</th>\n",
       "      <th>F1</th>\n",
       "      <th>Kappa</th>\n",
       "      <th>MCC</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bagging Classifier</td>\n",
       "      <td>0.7706</td>\n",
       "      <td>0.8071</td>\n",
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       "      <td>0.7333</td>\n",
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      "text/plain": [
       "                Model  Accuracy     AUC  Recall   Prec.      F1   Kappa  \\\n",
       "0  Bagging Classifier    0.7706  0.8071  0.5432  0.7333  0.6241  0.4642   \n",
       "\n",
       "      MCC  \n",
       "0  0.4751  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 模型评估\n",
    "pred = predict_model(best)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Model</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>AUC</th>\n",
       "      <th>Recall</th>\n",
       "      <th>Prec.</th>\n",
       "      <th>F1</th>\n",
       "      <th>Kappa</th>\n",
       "      <th>MCC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bagging Classifier</td>\n",
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      "text/plain": [
       "                Model  Accuracy     AUC  Recall   Prec.      F1   Kappa  \\\n",
       "0  Bagging Classifier    0.7706  0.8071  0.5432  0.7333  0.6241  0.4642   \n",
       "\n",
       "      MCC  \n",
       "0  0.4751  "
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Plasma glucose concentration a 2 hours in an oral glucose tolerance test</th>\n",
       "      <th>Diastolic blood pressure (mm Hg)</th>\n",
       "      <th>Triceps skin fold thickness (mm)</th>\n",
       "      <th>2-Hour serum insulin (mu U/ml)</th>\n",
       "      <th>Body mass index (weight in kg/(height in m)^2)</th>\n",
       "      <th>Diabetes pedigree function</th>\n",
       "      <th>Age (years)</th>\n",
       "      <th>Number of times pregnant_0</th>\n",
       "      <th>Number of times pregnant_1</th>\n",
       "      <th>Number of times pregnant_10</th>\n",
       "      <th>...</th>\n",
       "      <th>Number of times pregnant_3</th>\n",
       "      <th>Number of times pregnant_4</th>\n",
       "      <th>Number of times pregnant_5</th>\n",
       "      <th>Number of times pregnant_6</th>\n",
       "      <th>Number of times pregnant_7</th>\n",
       "      <th>Number of times pregnant_8</th>\n",
       "      <th>Number of times pregnant_9</th>\n",
       "      <th>Class variable</th>\n",
       "      <th>Label</th>\n",
       "      <th>Score</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>128.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>110.0</td>\n",
       "      <td>36.5</td>\n",
       "      <td>1.057</td>\n",
       "      <td>37.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4067</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>118.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.5</td>\n",
       "      <td>0.904</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5818</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>107.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.6</td>\n",
       "      <td>0.254</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>147.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.5</td>\n",
       "      <td>0.178</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3526</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>108.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.813</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3152</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>97.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>40.9</td>\n",
       "      <td>0.871</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5980</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>110.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>28.4</td>\n",
       "      <td>0.118</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>103.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>37.7</td>\n",
       "      <td>0.324</td>\n",
       "      <td>55.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2031</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>110.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.292</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>102.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.8</td>\n",
       "      <td>0.180</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>94.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>43.5</td>\n",
       "      <td>0.347</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>90.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.3</td>\n",
       "      <td>0.085</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>131.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.2</td>\n",
       "      <td>0.270</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.6946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>158.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.8</td>\n",
       "      <td>0.207</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>117.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.1</td>\n",
       "      <td>0.337</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>109.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32.5</td>\n",
       "      <td>0.855</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>71.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.586</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>87.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>32.7</td>\n",
       "      <td>0.166</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>141.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.761</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>91.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>33.1</td>\n",
       "      <td>0.446</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>119.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>35.5</td>\n",
       "      <td>0.280</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>140.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>24.1</td>\n",
       "      <td>0.828</td>\n",
       "      <td>23.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>134.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>370.0</td>\n",
       "      <td>46.2</td>\n",
       "      <td>0.238</td>\n",
       "      <td>46.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>116.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>22.1</td>\n",
       "      <td>0.463</td>\n",
       "      <td>37.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>96.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.7</td>\n",
       "      <td>0.190</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>111.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.1</td>\n",
       "      <td>0.557</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>112.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>37.8</td>\n",
       "      <td>0.261</td>\n",
       "      <td>41.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>108.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>35.5</td>\n",
       "      <td>0.415</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>119.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>27.1</td>\n",
       "      <td>1.318</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>146.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.5</td>\n",
       "      <td>1.781</td>\n",
       "      <td>44.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.7968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>104.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>27.8</td>\n",
       "      <td>0.454</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>126.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>38.5</td>\n",
       "      <td>0.349</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>100.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>38.5</td>\n",
       "      <td>0.324</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>99.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>160.0</td>\n",
       "      <td>36.6</td>\n",
       "      <td>0.453</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>99.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.4</td>\n",
       "      <td>0.388</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>183.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.8</td>\n",
       "      <td>1.461</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.9397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>122.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>49.7</td>\n",
       "      <td>0.325</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>113.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>22.4</td>\n",
       "      <td>0.140</td>\n",
       "      <td>22.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>125.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.6</td>\n",
       "      <td>0.565</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>111.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>207.0</td>\n",
       "      <td>37.1</td>\n",
       "      <td>1.390</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>120.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>105.0</td>\n",
       "      <td>39.7</td>\n",
       "      <td>0.215</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>122.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.3</td>\n",
       "      <td>1.114</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.9175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>91.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>39.9</td>\n",
       "      <td>0.381</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>146.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.5</td>\n",
       "      <td>0.240</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.5064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>111.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>46.8</td>\n",
       "      <td>0.925</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>126.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>28.7</td>\n",
       "      <td>0.801</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>107.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.4</td>\n",
       "      <td>0.133</td>\n",
       "      <td>23.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>120.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.409</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>109.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>34.8</td>\n",
       "      <td>0.905</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>119.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>45.3</td>\n",
       "      <td>0.507</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>112.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.6</td>\n",
       "      <td>0.840</td>\n",
       "      <td>58.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>75.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>29.7</td>\n",
       "      <td>0.370</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>84.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>35.8</td>\n",
       "      <td>0.545</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>151.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>210.0</td>\n",
       "      <td>42.9</td>\n",
       "      <td>0.516</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>103.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>27.6</td>\n",
       "      <td>0.730</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>105.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>41.5</td>\n",
       "      <td>0.173</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>162.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.6</td>\n",
       "      <td>0.364</td>\n",
       "      <td>26.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.7173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>193.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>34.9</td>\n",
       "      <td>0.241</td>\n",
       "      <td>25.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.8051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>114.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.9</td>\n",
       "      <td>0.744</td>\n",
       "      <td>57.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>105.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27.9</td>\n",
       "      <td>0.741</td>\n",
       "      <td>62.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0902</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>231 rows × 27 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Plasma glucose concentration a 2 hours in an oral glucose tolerance test  \\\n",
       "0                                                128.0                          \n",
       "1                                                118.0                          \n",
       "2                                                107.0                          \n",
       "3                                                147.0                          \n",
       "4                                                108.0                          \n",
       "5                                                 97.0                          \n",
       "6                                                110.0                          \n",
       "7                                                103.0                          \n",
       "8                                                110.0                          \n",
       "9                                                102.0                          \n",
       "10                                                94.0                          \n",
       "11                                                90.0                          \n",
       "12                                               131.0                          \n",
       "13                                               158.0                          \n",
       "14                                               117.0                          \n",
       "15                                               109.0                          \n",
       "16                                                71.0                          \n",
       "17                                                87.0                          \n",
       "18                                               141.0                          \n",
       "19                                                91.0                          \n",
       "20                                               119.0                          \n",
       "21                                               140.0                          \n",
       "22                                               134.0                          \n",
       "23                                               116.0                          \n",
       "24                                                96.0                          \n",
       "25                                               111.0                          \n",
       "26                                               112.0                          \n",
       "27                                               108.0                          \n",
       "28                                               119.0                          \n",
       "29                                               146.0                          \n",
       "..                                                 ...                          \n",
       "201                                              104.0                          \n",
       "202                                              126.0                          \n",
       "203                                              100.0                          \n",
       "204                                               99.0                          \n",
       "205                                               99.0                          \n",
       "206                                              183.0                          \n",
       "207                                              122.0                          \n",
       "208                                              113.0                          \n",
       "209                                              125.0                          \n",
       "210                                              111.0                          \n",
       "211                                              120.0                          \n",
       "212                                              122.0                          \n",
       "213                                               91.0                          \n",
       "214                                              146.0                          \n",
       "215                                              111.0                          \n",
       "216                                              126.0                          \n",
       "217                                              107.0                          \n",
       "218                                              120.0                          \n",
       "219                                              109.0                          \n",
       "220                                              119.0                          \n",
       "221                                              112.0                          \n",
       "222                                               75.0                          \n",
       "223                                               84.0                          \n",
       "224                                              151.0                          \n",
       "225                                              103.0                          \n",
       "226                                              105.0                          \n",
       "227                                              162.0                          \n",
       "228                                              193.0                          \n",
       "229                                              114.0                          \n",
       "230                                              105.0                          \n",
       "\n",
       "     Diastolic blood pressure (mm Hg)  Triceps skin fold thickness (mm)  \\\n",
       "0                                88.0                              39.0   \n",
       "1                                70.0                               0.0   \n",
       "2                                74.0                               0.0   \n",
       "3                                80.0                               0.0   \n",
       "4                                44.0                              20.0   \n",
       "5                                76.0                              32.0   \n",
       "6                                76.0                              20.0   \n",
       "7                                72.0                              32.0   \n",
       "8                                68.0                               0.0   \n",
       "9                                82.0                               0.0   \n",
       "10                               70.0                              27.0   \n",
       "11                               70.0                              17.0   \n",
       "12                                0.0                               0.0   \n",
       "13                               70.0                               0.0   \n",
       "14                               92.0                               0.0   \n",
       "15                               88.0                              30.0   \n",
       "16                               70.0                              27.0   \n",
       "17                               58.0                              16.0   \n",
       "18                                0.0                               0.0   \n",
       "19                               70.0                              32.0   \n",
       "20                               44.0                              47.0   \n",
       "21                               74.0                              26.0   \n",
       "22                               80.0                              37.0   \n",
       "23                               72.0                              12.0   \n",
       "24                                0.0                               0.0   \n",
       "25                               56.0                              39.0   \n",
       "26                               66.0                               0.0   \n",
       "27                               60.0                              46.0   \n",
       "28                               50.0                              22.0   \n",
       "29                               82.0                               0.0   \n",
       "..                                ...                               ...   \n",
       "201                              64.0                              23.0   \n",
       "202                              88.0                              36.0   \n",
       "203                              68.0                              25.0   \n",
       "204                              60.0                              17.0   \n",
       "205                              84.0                               0.0   \n",
       "206                              94.0                               0.0   \n",
       "207                              90.0                              51.0   \n",
       "208                              44.0                              13.0   \n",
       "209                              78.0                              31.0   \n",
       "210                              72.0                              47.0   \n",
       "211                              76.0                              37.0   \n",
       "212                              56.0                               0.0   \n",
       "213                              68.0                              32.0   \n",
       "214                               0.0                               0.0   \n",
       "215                              84.0                              40.0   \n",
       "216                              56.0                              29.0   \n",
       "217                              60.0                              25.0   \n",
       "218                              78.0                               0.0   \n",
       "219                              64.0                              44.0   \n",
       "220                              88.0                              41.0   \n",
       "221                              72.0                               0.0   \n",
       "222                              64.0                              24.0   \n",
       "223                              64.0                              22.0   \n",
       "224                              78.0                              32.0   \n",
       "225                              72.0                              30.0   \n",
       "226                              64.0                              41.0   \n",
       "227                              76.0                              36.0   \n",
       "228                              70.0                              31.0   \n",
       "229                              74.0                               0.0   \n",
       "230                              84.0                               0.0   \n",
       "\n",
       "     2-Hour serum insulin (mu U/ml)  \\\n",
       "0                             110.0   \n",
       "1                               0.0   \n",
       "2                               0.0   \n",
       "3                               0.0   \n",
       "4                             130.0   \n",
       "5                              91.0   \n",
       "6                             100.0   \n",
       "7                             190.0   \n",
       "8                               0.0   \n",
       "9                               0.0   \n",
       "10                            115.0   \n",
       "11                              0.0   \n",
       "12                              0.0   \n",
       "13                              0.0   \n",
       "14                              0.0   \n",
       "15                              0.0   \n",
       "16                              0.0   \n",
       "17                             52.0   \n",
       "18                              0.0   \n",
       "19                             88.0   \n",
       "20                             63.0   \n",
       "21                            180.0   \n",
       "22                            370.0   \n",
       "23                             87.0   \n",
       "24                              0.0   \n",
       "25                              0.0   \n",
       "26                              0.0   \n",
       "27                            178.0   \n",
       "28                            176.0   \n",
       "29                              0.0   \n",
       "..                              ...   \n",
       "201                           116.0   \n",
       "202                           108.0   \n",
       "203                            71.0   \n",
       "204                           160.0   \n",
       "205                             0.0   \n",
       "206                             0.0   \n",
       "207                           220.0   \n",
       "208                             0.0   \n",
       "209                             0.0   \n",
       "210                           207.0   \n",
       "211                           105.0   \n",
       "212                             0.0   \n",
       "213                           210.0   \n",
       "214                             0.0   \n",
       "215                             0.0   \n",
       "216                           152.0   \n",
       "217                             0.0   \n",
       "218                             0.0   \n",
       "219                            99.0   \n",
       "220                           170.0   \n",
       "221                             0.0   \n",
       "222                            55.0   \n",
       "223                            66.0   \n",
       "224                           210.0   \n",
       "225                           152.0   \n",
       "226                           142.0   \n",
       "227                             0.0   \n",
       "228                             0.0   \n",
       "229                             0.0   \n",
       "230                             0.0   \n",
       "\n",
       "     Body mass index (weight in kg/(height in m)^2)  \\\n",
       "0                                              36.5   \n",
       "1                                              44.5   \n",
       "2                                              29.6   \n",
       "3                                              29.5   \n",
       "4                                              24.0   \n",
       "5                                              40.9   \n",
       "6                                              28.4   \n",
       "7                                              37.7   \n",
       "8                                              26.0   \n",
       "9                                              30.8   \n",
       "10                                             43.5   \n",
       "11                                             27.3   \n",
       "12                                             43.2   \n",
       "13                                             29.8   \n",
       "14                                             34.1   \n",
       "15                                             32.5   \n",
       "16                                             28.0   \n",
       "17                                             32.7   \n",
       "18                                             30.0   \n",
       "19                                             33.1   \n",
       "20                                             35.5   \n",
       "21                                             24.1   \n",
       "22                                             46.2   \n",
       "23                                             22.1   \n",
       "24                                             23.7   \n",
       "25                                             30.1   \n",
       "26                                             37.8   \n",
       "27                                             35.5   \n",
       "28                                             27.1   \n",
       "29                                             40.5   \n",
       "..                                              ...   \n",
       "201                                            27.8   \n",
       "202                                            38.5   \n",
       "203                                            38.5   \n",
       "204                                            36.6   \n",
       "205                                            35.4   \n",
       "206                                            40.8   \n",
       "207                                            49.7   \n",
       "208                                            22.4   \n",
       "209                                            27.6   \n",
       "210                                            37.1   \n",
       "211                                            39.7   \n",
       "212                                            33.3   \n",
       "213                                            39.9   \n",
       "214                                            27.5   \n",
       "215                                            46.8   \n",
       "216                                            28.7   \n",
       "217                                            26.4   \n",
       "218                                            25.0   \n",
       "219                                            34.8   \n",
       "220                                            45.3   \n",
       "221                                            23.6   \n",
       "222                                            29.7   \n",
       "223                                            35.8   \n",
       "224                                            42.9   \n",
       "225                                            27.6   \n",
       "226                                            41.5   \n",
       "227                                            49.6   \n",
       "228                                            34.9   \n",
       "229                                            24.9   \n",
       "230                                            27.9   \n",
       "\n",
       "     Diabetes pedigree function  Age (years)  Number of times pregnant_0  \\\n",
       "0                         1.057         37.0                         0.0   \n",
       "1                         0.904         26.0                         0.0   \n",
       "2                         0.254         31.0                         0.0   \n",
       "3                         0.178         50.0                         0.0   \n",
       "4                         0.813         35.0                         0.0   \n",
       "5                         0.871         32.0                         0.0   \n",
       "6                         0.118         27.0                         0.0   \n",
       "7                         0.324         55.0                         0.0   \n",
       "8                         0.292         30.0                         0.0   \n",
       "9                         0.180         36.0                         0.0   \n",
       "10                        0.347         21.0                         1.0   \n",
       "11                        0.085         22.0                         0.0   \n",
       "12                        0.270         26.0                         1.0   \n",
       "13                        0.207         63.0                         0.0   \n",
       "14                        0.337         38.0                         0.0   \n",
       "15                        0.855         38.0                         1.0   \n",
       "16                        0.586         22.0                         0.0   \n",
       "17                        0.166         25.0                         0.0   \n",
       "18                        0.761         27.0                         0.0   \n",
       "19                        0.446         22.0                         0.0   \n",
       "20                        0.280         25.0                         0.0   \n",
       "21                        0.828         23.0                         0.0   \n",
       "22                        0.238         46.0                         0.0   \n",
       "23                        0.463         37.0                         0.0   \n",
       "24                        0.190         28.0                         0.0   \n",
       "25                        0.557         30.0                         0.0   \n",
       "26                        0.261         41.0                         0.0   \n",
       "27                        0.415         24.0                         0.0   \n",
       "28                        1.318         33.0                         0.0   \n",
       "29                        1.781         44.0                         1.0   \n",
       "..                          ...          ...                         ...   \n",
       "201                       0.454         23.0                         1.0   \n",
       "202                       0.349         49.0                         0.0   \n",
       "203                       0.324         26.0                         0.0   \n",
       "204                       0.453         21.0                         0.0   \n",
       "205                       0.388         50.0                         0.0   \n",
       "206                       1.461         45.0                         0.0   \n",
       "207                       0.325         31.0                         0.0   \n",
       "208                       0.140         22.0                         0.0   \n",
       "209                       0.565         49.0                         0.0   \n",
       "210                       1.390         56.0                         0.0   \n",
       "211                       0.215         29.0                         0.0   \n",
       "212                       1.114         33.0                         0.0   \n",
       "213                       0.381         25.0                         1.0   \n",
       "214                       0.240         28.0                         0.0   \n",
       "215                       0.925         45.0                         0.0   \n",
       "216                       0.801         21.0                         0.0   \n",
       "217                       0.133         23.0                         1.0   \n",
       "218                       0.409         64.0                         0.0   \n",
       "219                       0.905         26.0                         0.0   \n",
       "220                       0.507         26.0                         0.0   \n",
       "221                       0.840         58.0                         0.0   \n",
       "222                       0.370         33.0                         0.0   \n",
       "223                       0.545         21.0                         1.0   \n",
       "224                       0.516         36.0                         0.0   \n",
       "225                       0.730         27.0                         0.0   \n",
       "226                       0.173         22.0                         1.0   \n",
       "227                       0.364         26.0                         1.0   \n",
       "228                       0.241         25.0                         0.0   \n",
       "229                       0.744         57.0                         0.0   \n",
       "230                       0.741         62.0                         1.0   \n",
       "\n",
       "     Number of times pregnant_1  Number of times pregnant_10  ...  \\\n",
       "0                           1.0                          0.0  ...   \n",
       "1                           0.0                          0.0  ...   \n",
       "2                           0.0                          0.0  ...   \n",
       "3                           0.0                          0.0  ...   \n",
       "4                           0.0                          0.0  ...   \n",
       "5                           0.0                          0.0  ...   \n",
       "6                           0.0                          0.0  ...   \n",
       "7                           0.0                          0.0  ...   \n",
       "8                           0.0                          0.0  ...   \n",
       "9                           0.0                          0.0  ...   \n",
       "10                          0.0                          0.0  ...   \n",
       "11                          0.0                          0.0  ...   \n",
       "12                          0.0                          0.0  ...   \n",
       "13                          0.0                          0.0  ...   \n",
       "14                          0.0                          0.0  ...   \n",
       "15                          0.0                          0.0  ...   \n",
       "16                          0.0                          0.0  ...   \n",
       "17                          0.0                          0.0  ...   \n",
       "18                          0.0                          0.0  ...   \n",
       "19                          0.0                          0.0  ...   \n",
       "20                          1.0                          0.0  ...   \n",
       "21                          1.0                          0.0  ...   \n",
       "22                          0.0                          0.0  ...   \n",
       "23                          0.0                          0.0  ...   \n",
       "24                          0.0                          0.0  ...   \n",
       "25                          0.0                          0.0  ...   \n",
       "26                          0.0                          0.0  ...   \n",
       "27                          1.0                          0.0  ...   \n",
       "28                          0.0                          0.0  ...   \n",
       "29                          0.0                          0.0  ...   \n",
       "..                          ...                          ...  ...   \n",
       "201                         0.0                          0.0  ...   \n",
       "202                         0.0                          0.0  ...   \n",
       "203                         0.0                          0.0  ...   \n",
       "204                         0.0                          0.0  ...   \n",
       "205                         0.0                          0.0  ...   \n",
       "206                         0.0                          0.0  ...   \n",
       "207                         1.0                          0.0  ...   \n",
       "208                         0.0                          0.0  ...   \n",
       "209                         0.0                          0.0  ...   \n",
       "210                         0.0                          0.0  ...   \n",
       "211                         0.0                          0.0  ...   \n",
       "212                         0.0                          0.0  ...   \n",
       "213                         0.0                          0.0  ...   \n",
       "214                         0.0                          0.0  ...   \n",
       "215                         0.0                          0.0  ...   \n",
       "216                         1.0                          0.0  ...   \n",
       "217                         0.0                          0.0  ...   \n",
       "218                         0.0                          0.0  ...   \n",
       "219                         0.0                          0.0  ...   \n",
       "220                         1.0                          0.0  ...   \n",
       "221                         0.0                          0.0  ...   \n",
       "222                         0.0                          0.0  ...   \n",
       "223                         0.0                          0.0  ...   \n",
       "224                         0.0                          0.0  ...   \n",
       "225                         0.0                          0.0  ...   \n",
       "226                         0.0                          0.0  ...   \n",
       "227                         0.0                          0.0  ...   \n",
       "228                         0.0                          0.0  ...   \n",
       "229                         0.0                          0.0  ...   \n",
       "230                         0.0                          0.0  ...   \n",
       "\n",
       "     Number of times pregnant_3  Number of times pregnant_4  \\\n",
       "0                           0.0                         0.0   \n",
       "1                           0.0                         1.0   \n",
       "2                           0.0                         0.0   \n",
       "3                           0.0                         0.0   \n",
       "4                           0.0                         0.0   \n",
       "5                           0.0                         0.0   \n",
       "6                           0.0                         1.0   \n",
       "7                           0.0                         0.0   \n",
       "8                           0.0                         0.0   \n",
       "9                           0.0                         0.0   \n",
       "10                          0.0                         0.0   \n",
       "11                          0.0                         0.0   \n",
       "12                          0.0                         0.0   \n",
       "13                          0.0                         0.0   \n",
       "14                          0.0                         0.0   \n",
       "15                          0.0                         0.0   \n",
       "16                          0.0                         0.0   \n",
       "17                          0.0                         0.0   \n",
       "18                          1.0                         0.0   \n",
       "19                          0.0                         1.0   \n",
       "20                          0.0                         0.0   \n",
       "21                          0.0                         0.0   \n",
       "22                          0.0                         0.0   \n",
       "23                          0.0                         1.0   \n",
       "24                          0.0                         0.0   \n",
       "25                          1.0                         0.0   \n",
       "26                          0.0                         0.0   \n",
       "27                          0.0                         0.0   \n",
       "28                          0.0                         0.0   \n",
       "29                          0.0                         0.0   \n",
       "..                          ...                         ...   \n",
       "201                         0.0                         0.0   \n",
       "202                         0.0                         0.0   \n",
       "203                         0.0                         0.0   \n",
       "204                         0.0                         0.0   \n",
       "205                         0.0                         0.0   \n",
       "206                         0.0                         0.0   \n",
       "207                         0.0                         0.0   \n",
       "208                         1.0                         0.0   \n",
       "209                         0.0                         0.0   \n",
       "210                         0.0                         1.0   \n",
       "211                         0.0                         0.0   \n",
       "212                         0.0                         0.0   \n",
       "213                         0.0                         0.0   \n",
       "214                         0.0                         0.0   \n",
       "215                         0.0                         0.0   \n",
       "216                         0.0                         0.0   \n",
       "217                         0.0                         0.0   \n",
       "218                         0.0                         0.0   \n",
       "219                         0.0                         1.0   \n",
       "220                         0.0                         0.0   \n",
       "221                         0.0                         0.0   \n",
       "222                         0.0                         0.0   \n",
       "223                         0.0                         0.0   \n",
       "224                         0.0                         0.0   \n",
       "225                         1.0                         0.0   \n",
       "226                         0.0                         0.0   \n",
       "227                         0.0                         0.0   \n",
       "228                         1.0                         0.0   \n",
       "229                         0.0                         0.0   \n",
       "230                         0.0                         0.0   \n",
       "\n",
       "     Number of times pregnant_5  Number of times pregnant_6  \\\n",
       "0                           0.0                         0.0   \n",
       "1                           0.0                         0.0   \n",
       "2                           0.0                         0.0   \n",
       "3                           0.0                         1.0   \n",
       "4                           0.0                         1.0   \n",
       "5                           0.0                         0.0   \n",
       "6                           0.0                         0.0   \n",
       "7                           0.0                         1.0   \n",
       "8                           1.0                         0.0   \n",
       "9                           0.0                         1.0   \n",
       "10                          0.0                         0.0   \n",
       "11                          0.0                         0.0   \n",
       "12                          0.0                         0.0   \n",
       "13                          1.0                         0.0   \n",
       "14                          1.0                         0.0   \n",
       "15                          0.0                         0.0   \n",
       "16                          0.0                         0.0   \n",
       "17                          0.0                         0.0   \n",
       "18                          0.0                         0.0   \n",
       "19                          0.0                         0.0   \n",
       "20                          0.0                         0.0   \n",
       "21                          0.0                         0.0   \n",
       "22                          0.0                         1.0   \n",
       "23                          0.0                         0.0   \n",
       "24                          0.0                         1.0   \n",
       "25                          0.0                         0.0   \n",
       "26                          1.0                         0.0   \n",
       "27                          0.0                         0.0   \n",
       "28                          0.0                         1.0   \n",
       "29                          0.0                         0.0   \n",
       "..                          ...                         ...   \n",
       "201                         0.0                         0.0   \n",
       "202                         0.0                         0.0   \n",
       "203                         0.0                         0.0   \n",
       "204                         0.0                         0.0   \n",
       "205                         0.0                         0.0   \n",
       "206                         0.0                         1.0   \n",
       "207                         0.0                         0.0   \n",
       "208                         0.0                         0.0   \n",
       "209                         0.0                         1.0   \n",
       "210                         0.0                         0.0   \n",
       "211                         0.0                         0.0   \n",
       "212                         0.0                         0.0   \n",
       "213                         0.0                         0.0   \n",
       "214                         0.0                         0.0   \n",
       "215                         0.0                         0.0   \n",
       "216                         0.0                         0.0   \n",
       "217                         0.0                         0.0   \n",
       "218                         0.0                         0.0   \n",
       "219                         0.0                         0.0   \n",
       "220                         0.0                         0.0   \n",
       "221                         0.0                         0.0   \n",
       "222                         0.0                         0.0   \n",
       "223                         0.0                         0.0   \n",
       "224                         0.0                         0.0   \n",
       "225                         0.0                         0.0   \n",
       "226                         0.0                         0.0   \n",
       "227                         0.0                         0.0   \n",
       "228                         0.0                         0.0   \n",
       "229                         1.0                         0.0   \n",
       "230                         0.0                         0.0   \n",
       "\n",
       "     Number of times pregnant_7  Number of times pregnant_8  \\\n",
       "0                           0.0                         0.0   \n",
       "1                           0.0                         0.0   \n",
       "2                           1.0                         0.0   \n",
       "3                           0.0                         0.0   \n",
       "4                           0.0                         0.0   \n",
       "5                           1.0                         0.0   \n",
       "6                           0.0                         0.0   \n",
       "7                           0.0                         0.0   \n",
       "8                           0.0                         0.0   \n",
       "9                           0.0                         0.0   \n",
       "10                          0.0                         0.0   \n",
       "11                          0.0                         0.0   \n",
       "12                          0.0                         0.0   \n",
       "13                          0.0                         0.0   \n",
       "14                          0.0                         0.0   \n",
       "15                          0.0                         0.0   \n",
       "16                          0.0                         0.0   \n",
       "17                          0.0                         0.0   \n",
       "18                          0.0                         0.0   \n",
       "19                          0.0                         0.0   \n",
       "20                          0.0                         0.0   \n",
       "21                          0.0                         0.0   \n",
       "22                          0.0                         0.0   \n",
       "23                          0.0                         0.0   \n",
       "24                          0.0                         0.0   \n",
       "25                          0.0                         0.0   \n",
       "26                          0.0                         0.0   \n",
       "27                          0.0                         0.0   \n",
       "28                          0.0                         0.0   \n",
       "29                          0.0                         0.0   \n",
       "..                          ...                         ...   \n",
       "201                         0.0                         0.0   \n",
       "202                         0.0                         1.0   \n",
       "203                         0.0                         0.0   \n",
       "204                         0.0                         0.0   \n",
       "205                         0.0                         1.0   \n",
       "206                         0.0                         0.0   \n",
       "207                         0.0                         0.0   \n",
       "208                         0.0                         0.0   \n",
       "209                         0.0                         0.0   \n",
       "210                         0.0                         0.0   \n",
       "211                         0.0                         0.0   \n",
       "212                         0.0                         0.0   \n",
       "213                         0.0                         0.0   \n",
       "214                         0.0                         0.0   \n",
       "215                         0.0                         0.0   \n",
       "216                         0.0                         0.0   \n",
       "217                         0.0                         0.0   \n",
       "218                         0.0                         1.0   \n",
       "219                         0.0                         0.0   \n",
       "220                         0.0                         0.0   \n",
       "221                         0.0                         1.0   \n",
       "222                         0.0                         0.0   \n",
       "223                         0.0                         0.0   \n",
       "224                         0.0                         1.0   \n",
       "225                         0.0                         0.0   \n",
       "226                         0.0                         0.0   \n",
       "227                         0.0                         0.0   \n",
       "228                         0.0                         0.0   \n",
       "229                         0.0                         0.0   \n",
       "230                         0.0                         0.0   \n",
       "\n",
       "     Number of times pregnant_9  Class variable  Label   Score  \n",
       "0                           0.0               1      0  0.4067  \n",
       "1                           0.0               0      1  0.5818  \n",
       "2                           0.0               1      0  0.3484  \n",
       "3                           0.0               1      0  0.3526  \n",
       "4                           0.0               0      0  0.3152  \n",
       "5                           0.0               1      1  0.5980  \n",
       "6                           0.0               0      0  0.0968  \n",
       "7                           0.0               0      0  0.2031  \n",
       "8                           0.0               0      0  0.2099  \n",
       "9                           0.0               1      0  0.1320  \n",
       "10                          0.0               0      0  0.1511  \n",
       "11                          0.0               0      0  0.0349  \n",
       "12                          0.0               1      1  0.6946  \n",
       "13                          0.0               0      1  0.5281  \n",
       "14                          0.0               0      0  0.2680  \n",
       "15                          0.0               1      0  0.1597  \n",
       "16                          0.0               0      0  0.0373  \n",
       "17                          0.0               0      0  0.0582  \n",
       "18                          0.0               1      1  0.8031  \n",
       "19                          0.0               0      0  0.1243  \n",
       "20                          0.0               0      0  0.3128  \n",
       "21                          0.0               0      0  0.3045  \n",
       "22                          0.0               1      0  0.4397  \n",
       "23                          0.0               0      0  0.1207  \n",
       "24                          0.0               0      0  0.2864  \n",
       "25                          0.0               0      0  0.2768  \n",
       "26                          0.0               1      0  0.3702  \n",
       "27                          0.0               0      0  0.1963  \n",
       "28                          0.0               1      1  0.5635  \n",
       "29                          0.0               0      1  0.7968  \n",
       "..                          ...             ...    ...     ...  \n",
       "201                         0.0               0      0  0.0972  \n",
       "202                         0.0               0      1  0.5917  \n",
       "203                         0.0               0      0  0.1216  \n",
       "204                         0.0               0      0  0.1297  \n",
       "205                         0.0               0      0  0.3873  \n",
       "206                         0.0               0      1  0.9397  \n",
       "207                         0.0               1      0  0.3177  \n",
       "208                         0.0               0      0  0.1612  \n",
       "209                         0.0               1      0  0.2861  \n",
       "210                         0.0               1      0  0.4346  \n",
       "211                         0.0               0      0  0.1684  \n",
       "212                         1.0               1      1  0.9175  \n",
       "213                         0.0               0      0  0.1062  \n",
       "214                         0.0               1      1  0.5064  \n",
       "215                         0.0               1      1  0.8128  \n",
       "216                         0.0               0      0  0.3485  \n",
       "217                         0.0               0      0  0.0820  \n",
       "218                         0.0               0      0  0.3919  \n",
       "219                         0.0               1      0  0.3518  \n",
       "220                         0.0               0      0  0.3127  \n",
       "221                         0.0               0      0  0.4800  \n",
       "222                         0.0               0      0  0.0354  \n",
       "223                         0.0               0      0  0.1042  \n",
       "224                         0.0               1      1  0.8651  \n",
       "225                         0.0               0      0  0.1649  \n",
       "226                         0.0               0      0  0.1617  \n",
       "227                         0.0               1      1  0.7173  \n",
       "228                         0.0               1      1  0.8051  \n",
       "229                         0.0               0      0  0.2699  \n",
       "230                         0.0               1      0  0.0902  \n",
       "\n",
       "[231 rows x 27 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finalize model\n",
    "final_model = finalize_model(best)\n",
    "predict_model(final_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "763    0\n",
      "764    0\n",
      "765    0\n",
      "766    1\n",
      "767    0\n",
      "Name: Class variable, dtype: int64\n",
      "    Label   Score\n",
      "0     NaN  0.1112\n",
      "1     NaN  0.2587\n",
      "2     NaN  0.0681\n",
      "3     NaN  0.6875\n",
      "4     NaN  0.0465\n",
      "763     0     NaN\n",
      "764     0     NaN\n",
      "765     0     NaN\n",
      "766     1     NaN\n",
      "767     0     NaN\n"
     ]
    }
   ],
   "source": [
    "test_data = diabetes.iloc[-5:]\n",
    "print(test_data['Class variable'])\n",
    "\n",
    "predictions = predict_model(best, data = test_data[test_data.columns[: -1]])\n",
    "print(predictions[predictions.columns[-2:]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# run mlflow server (notebook), just only for command\n",
    "# !mlflow ui"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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